Table 4
Regression Model
Y = α X1 + β X2
Parameter Estimates
Coefficient Standard Error
Constant 12.924 4.425
X1 -3.682 2.630
X2 45.216 12.560
Analysis of Variance
Source of Degrees Sum of Mean
Variation of Freedom Squares Square F
Regression XXX 4,853 2,426.5 XXX
Error XXX 485.3
Exhibit 15-6 Below you are given a partial computer output based on a sample of 16 observations. Coefficient Standard Error Constant 12.924 4.425 X1 -3.682 2.630 X2 45.216 12.560 Analysis of Variance Source of Variation Degrees of Freedom Sum of Squares Mean Square F Regression 4,853 2,426.5 Error 485.3 Refer to Exhibit 15-6. The estimated regression equation is Refer to Exhibit 15-6. The interpretation of the coefficient of X1 is that Refer to Exhibit 15-6. We want to test whether...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 585.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 1.630 x2 45.216 22.560 A) The interpretation of the coefficient of x 1 is that _____. B) We want to test whether the parameter β 1 is significant. The test statistic equals _____. C) The critical t value that is used to test an individual parameter...
Use the following linear regression equation to answer the questions. X1 = 1.7 + 3.6x2 - 8.4x3 + 1.5x4 (a) Which variable is the response variable? O X1 O X2 O X4 O X3 Which variables are the explanatory variables? (Select all that apply.) X3 X1 U X2 (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant X2 coefficient X3 coefficient X4 coefficient (c) If x2 = 8, X3 = 5, and x4...
Consider the model, Yt = B0 + B1 X1,t + B1 X2,t + Ut, and this is estimated using OLS with 350 observations. However, it is suspected autocorrelation is present. You compute the DW statistic as 0.891. The critical values for this model are: dL = 1.741 and dU = 1.764. What is your decision? A. Reject the null. B. Fail to reject the null. C. Undetermined or inconclusive.
Consider the model, Yt = BO+B1 X1,t + B1 X2,t + Ut, and this is estimated using OLS with 250 observations. However, it is suspected autocorrelation is present. You compute the DW statistic as 1.997. The critical values for this model are: dL = 1.692 and du = 1.724. What is your decision? A. Reject the null. B. Fail to reject the null. C. Undetermined or inconclusive.
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.4x2 – 8.3x3 + 2.3x4 (a) Which variable is the response variable? Which variables are the explanatory variables? (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant? x2 coefficient? x3 coefficient? x4 coefficient? (c) If x2 = 1, x3 = 8, and x4 = 6, what is the predicted value for x1? (Use 1 decimal place.) (d) Explain how...
please use excel if possible to show regression model and answer The Central Company manufactures a certain specialty item once a month in a batch production run. The number of items produced in each run varies from month to month as demand fluctuates. The company is interested in the relationship between the size of the production run (x) and the number of hours of labor (v) required for the run. The company has collected the following data for the ten...
Use the following linear regression equation to answer the questions. x1 = 1.7 + 3.9x2 - 8.1X3 + 1.9x4 (a) Which variable is the response variable? O O O O Which variables are the explanatory variables? (Select all that apply.) o X3 O X4 Сх, (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant X2 coefficient Xz coefficient x4 coefficient (C) If x2 = 8, X3 = 3, and X4 = 1, what...
The number of miles traveled by birds is known to be normally distributed. A random sample of 43 birds results in a mean distance of 2.64 miles with a standard deviation of 0.15 miles. You've been asked to construct a 95% confidence interval for the mean number of miles traveled. Based on this you would use the table. none of the above. Ttable Ftable Z table Question 16 1 pts Consider the following competing hypotheses: HON= 0, HAU# 0. The...
Given two independent random samples with the following results: n1= 658 n2 = 550 x1=362 x2=194 Can it be concluded that there is a difference between the two population proportions? Use a significance level of α=0.01 for the test. Step 1 of 5: State the null and alternative hypotheses for the test. Step 2 of 5: Find the values of the two sample proportions, pˆ1 and pˆ2. Round your answers to three decimal places. Step 3 of 5: Compute...